Yutaka Shimizu's starred repositories
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
deep-learning-from-scratch-4
『ゼロから作る Deep Learning ❹』(O'Reilly Japan, 2022)
deep-learning-from-scratch-5
『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)
proj-svg_mppi
[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
Non-Gaussian_Risk-Bounded_TrajOpt
Non-Gaussian Risk Bounded Trajectory Optimization for StochasticNonlinear Systems in Uncertain Environments
geometric-parallel-parking
Geometric path planning for automatic parallel parking
mppi_playground
Model Predictive Path Integral Control (MPPI) with PyTorch
CPP_Convex_Hulls
This Git repository provides functionality for processing and manipulating Convex Hulls. The code can parse a JSON file containing Convex Hulls data and eliminate overlapping Convex Hulls based on a user-defined overlap threshold. The resulting Convex Hulls are then written to a new JSON file.